Victor Batista
John Gamble Kirkwood Professor of Chemistry; Yale Quantum Institute & Energy Sciences Institute
“Simulating Molecular Systems on Hybrid Qubit-Qumode Bosonic Devices.”
Corey O’Hern
Professor of Mechanical Engineering, Applied Physics, Materials Science, Physics and Computational Biology & Bioinformatics
“Computational modeling of protein-protein interactions.”
Haoyu Liu
PhD Candidate in Mechanical Engineering (Pahlavan Lab)
“Steering colloids using chemical gradients and flow.”
Haoyu is a fourth-year PhD student in the Soft, Fluid, Living Matter (SoFLivMat) Lab in the Department of Mechanical Engineering advised by Prof. Amir Pahlavan. He obtained his bachelor’s degree in Theoretical and Applied Mechanics from Southern University of Science and Technology, China. His current research focuses on the interfacial science of fluids, colloids, and soft matter.
David Silva Sánchez
PhD Student in Applied Mathematics (Lederman Group)
“A projected gradient descent approach to optimizing atomic structures through Molecular Dynamics and CryoEM images.”
David Silva Sánchez is a PhD student in Applied Mathematics, specializing in computational methods for Cryo-Electron Microscopy (Cryo-EM). He graduated with a degree in Physics from Universidad de Antioquia in Medellín, Colombia. Following graduation, he spent a year as a Guest Researcher at the Flatiron Institute. At Yale, he is advised by Prof. Roy Lederman (S&DS) and Prof. Pilar Cossio (Flatiron Institute’s Center for Computational Mathematics).
Christian Venturella
PhD Candidate in Chemistry (Zhu Group)
“Unified Deep Learning Framework for Many-Body Quantum Chemistry via Green’s Functions”
Christian is a 3rd year PhD candidate and NDSEG fellow in the Chemistry Department at Yale advised by Professor Tianyu Zhu. Prior to his PhD, he graduated summa cum laude from Princeton University. Christian is broadly interested in developing both physics-based and data-driven algorithms for predicting many-electron properties of chemical and materials systems.
Aya Nawano
Computational Research Support Analyst, Yale Center for Research Computing
“High Performance Computing and Molecular Dynamics Work Flows at Yale Center for Research Computing”
The Yale Center for Research Computing (YCRC) is a computational core facility within the Office of the Provost, and was established to aid the research community with advanced computing resources. Staffed by application specialists, research scientists, and systems administrators with skills in high-performance computing (HPC) and various computationally intensive fields, the YCRC plays a crucial role in supporting Yale’s research endeavors.
